Article: This Washington-Based AI Startup Offers An Acceleration Platform That Helps Engineering Teams Deploy Machine Learning Models On Any Hardware

Code, Open Software

This Washington-Based AI Startup Offers An Acceleration Platform That Helps Engineering Teams Deploy Machine Learning Models On Any Hardware

OctoML is a Washington-based startup that offers an acceleration platform for deploying machine learning models and algorithms on the hardware. This platform primarily helps the engineering teams deploy the machine learning models seamlessly and with increased accuracy. The platform is built on an open-source Apache TVM compiler framework project.

In the recent Series B funding rounds, OctoML raised $28 million, which takes the company’s total capital to around $47 million. The funds raised will be utilized to up the machinery of the organization, build a customer success team and expand the engineering team further to develop and include new features on the platform.

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Article: Bridging the gap between AI and the clinic

Cures, Drugs, Open Health, Procedures (Medical)

Bridging the gap between AI and the clinic

The power of artificial intelligence (AI) in medicine lies in its ability to find important statistical patterns in large datasets. A recently published study is an important proof of concept for how AI can help doctors and brain tumour patients make better treatment decisions.

Meningiomas – tumours that arise from the membranes that surround the brain and spinal cord – are the most common primary central nervous system tumour, with an incidence of 8.14 per 100,000 population. While they generally have better outcomes than other brain tumours, there is a great deal of variability in aggressiveness. Being able to predict malignancy and accurately estimate survival is therefore incredibly important in deciding whether surgery is the best option for the patient.

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